John Vrettaros

Artificial Intelligence, Quantum Computing, Artificial Neural Network

9.12

Publications

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    Dataset: 351435 (2)
    Athanasios Drigas · Katerina Argyri · John Vrettaros

    Full-text · Dataset · Jul 2013
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    ABSTRACT: Via the present study, it was attempted to explore which of the widely used Web 2.0 tools (blogs, wikis, social networks and typical hypermedia) and which of several pedagogical techniques (lip – reading, video – sign language and learning activities) are appropriate to use for learning purpose for deaf and hard of hearing people. The methodology that was followed consisted of the creation of a community of learning in order for subjects such as e- commerce, dyscalculia and International Accounting Standards to be studied with the involvement of four countries (Greece, Cyprus, Italy, England). As data collection tool, appropriate questionnaires were used both before the launch and after the completion of the seminars in order for us to monitor the progress of hearing impaired learners’ cognitive state and skills and to check the extent in which the tools mentioned above were compatible with the features of the specific group and able to maximize the learning results. The study was conducted in the context of SYNERGIA (moodle.imm.demokritos.gr/synergia), a project of Leonardo da Vinci of Lifelong Learning Programme.
    Full-text · Article · Jan 2013
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    Athanasios Drigas · Dimitris Kouremenos · John Vrettaros
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    ABSTRACT: This chapter presents e-learning practices and applications, which target people with visual and hearing disabilities. The first part discusses an e-learning application, which targets visually impaired people while the second part presents an e-learning application for the teaching of the English language to deaf and hearing impaired people. The final part presents a study about the relationship of the deaf and hearing impaired with new technologies in Greece. The chapter stresses the importance of the thorough exploitation of ICTs together with e-learning technologies towards the effective improvement of educative methods for this target group. The objectives of this chapter are to support the distance and lifelong education and training of the target group, to guarantee their equal access to information, knowledge, education and employment and finally, to minimize the digital divide through the use of assistive technologies and contemporary, easily navigable and user-friendly e-learning environments. http://www.igi-global.com/chapter/learning-applications-disabled-people/68498
    Full-text · Chapter · Jan 2013
  • Athanasios Drigas · Dimitris Kouremenos · John Vrettaros
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    ABSTRACT: This chapter discusses the e-learning methods that were used within the Dedalos project for the teaching of English (as a second language) to deaf and hearing impaired people through the use of Sign Language. Firstly, special educational e-content was developed using modern digital and animation technologies, which was divided into educational levels in accordance to the special needs of the deaf and hearing impaired students. In addition, this special educational content was embedded in a newly developed e-learning environment aiming at the distance training of the aforementioned target group. Apart from the educational material, special evaluation tests were embedded in the e-learning environment towards the assessment and evaluation of the skills of the students. Finally, an intelligent taxonomy system was used for setting the e-content to the right level as well as for the realization of the evaluation process. The procedure can be used in tertiary education. http://www.igi-global.com/chapter/learning-fuzzy-methods-sign-language/78441
    No preview · Chapter · Jan 2013
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    ABSTRACT: During the pilot training of Greek educators on the educational exploitation of Web 2.0 tools and their use in classroom, or in distant courses, an empirical study was at the same time realised. This empirical study’s main purpose is to investigate if Greek educators with the appropriate training, and due to the changes that the training brings, e.g., increase of self-efficacy, familiarisation, practical implementations, can use Web 2.0 tools in classroom. For this purpose, the Greek educators were introduced and trained in the use of social software tools, such as Facebook, blogs, YouTube and wikis. This paper presents the results of the study. http://www.inderscience.com/info/inarticle.php?artid=53161
    Full-text · Article · Jan 2012 · International Journal of Social and Humanistic Computing
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    ABSTRACT: The goal of this study is the development of an assessment system with the support of a neural network approach optimised with the use of genetic programming. The data used as training data are real data derived from an educational project. The developed system is able to assess learners' answers through various criteria and has been proved capable of assessing data from both single select and multiple choice questions in an e-learning environment.
    No preview · Article · Jul 2011 · International Journal of Technology Enhanced Learning
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    J. Vrettaros · A. Leros · K. Hrissagis-Chrysagis · A. Drigas
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    ABSTRACT: This chapter describes the development of an expert system by a knowledge engineer with pedagogical expertise. Specifically, the problem of knowledge elicitation from the expert’s point of view is thoroughly presented as characterized by skillful coding in the expert’s system input and output representation of knowledge. Based on the developed expert system, neural networks and neurofuzzy logic technologies can be used in order to achieve automatic evaluation of deaf students’ answers and progress. The students have basic knowledge of the English language and computer skills in a virtual e-learning environment. Using the expert system’s knowledge representation, different backpropagation neural (BPN) models can be developed and evaluated using the correlation coefficient between the values of the neural network’s response and the data values, plus the count in percentage of the error between the prediction values of the neural network and the real values of the data during training and afterward in unknown data that haven’t been used during learning. Also using the expert system’s knowledge representation, different adaptive neurofuzzy inference system (ANFIS) models can be developed and evaluated using the count in percentage of the error between the expected values and those provided by the ANFIS models. In addition, general description for the characteristics of the neural networks and neurofuzzy technologies is provided along with their use in similar problems. KeywordsKnowledge elicitation-Neurofuzzy-Expert systems-Diagnosis http://link.springer.com/chapter/10.1007%2F978-1-4419-5662-0_5
    Full-text · Chapter · Dec 2010
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    ABSTRACT: A new algorithm is proposed for the software implementation of modular multiplication, which uses pre-computations with a constant module. The developed modular multiplication algorithm provides high performance in comparison with the already known algorithms, and is oriented at the variable value of the module, especially with the software implementation on micro controllers and smart cards with a small number of bits. http://link.springer.com/chapter/10.1007%2F978-3-642-16318-0_73
    Full-text · Conference Paper · Sep 2010
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    John Vrettaros · George Vouros · Athanasios S Drigas
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    ABSTRACT: This article studies the expediency of using neural networks technology and the development of back-propagation networks (BPN) models for modeling automated evaluation of the answers and progress of deaf students' that possess basic knowledge of the English language and computer skills, within a virtual e-learning environment. The performance of the developed neural models is evaluated with the correlation factor between the neural networks' response values and the real value data as well as the percentage measurement of the error between the neural networks' estimate values and the real value data during its training process and afterwards with unknown data that weren't used in the training process.
    Full-text · Article · Aug 2010
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    ABSTRACT: This paper presents the construction of a system suitable for student diagnosis with the use of neurofuzzy techniques. To be more specific, the extent of usefulness of Adaptive NeuroFuzzy Inference Systems (ANFIS) is examined for modeling automated evaluation of the answers and progress of deaf students' that possess basic knowledge of the English language and computer skills, within a virtual e-learning environment. The performance of the specific methods is evaluated with the correlation factor between the neural networks' response values and the real value data as well as the error between the neural networks' estimate values and the real value data during its training process and afterwards with unknown data that weren't used in the training process. The system was trained through data extracted from an educational project called ENFORA.
    Full-text · Article · Aug 2010
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    ABSTRACT: Technology Enhanced Learning. Quality of Teaching and Educational Reform Communications in Computer and Information Science Volume 73, 2010, pp 595-601 Springer The primary goal of this paper is to study whether WEB 2.0 tools such as blogs, wikis, social networks and typical hypermedia as well as techniques such as lip – reading, video – sign language and learning activities are appropriate to use for learning purpose for deaf and hard of hearing people. In order to check the extent in which the choices mentioned above are compatible with the features of the specific group and maximize the learning results we designed an empirical study which will be presented below. The study was conducted in the context of SYNERGIA, a project of Leonardo da Vinci of Lifelong Learning Programme, in the section of MULTILATERAL PROJECTS TRANSFER OF INNOVATION, The evaluation was conducted on data that came up through questionnaire analysis. Keywordsempirical study–Web 2.0–e-learning–social networking–wikis–blogs–video – sign language–lip – reading http://link.springer.com/chapter/10.1007%2F978-3-642-13166-0_83
    Full-text · Chapter · May 2010
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    Athanasios Drigas · Alexandors Tagoulis John Vrettaros · Dimitris Kouremenos
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    ABSTRACT: This paper presents the design and development of an e-learning course in teaching deaf people in a foreign language, whose first language is the sign language. The course is based in e-material, vodcasting and web 2.0 tools such as social networking and blog The course has been designed especially for deaf people and it is exploring the possibilities that e-learning material vodcasting and web 2.0 tools can offer to enhance the learning process and achieve more effective learning results. http://link.springer.com/chapter/10.1007%2F978-3-642-16324-1_60
    Full-text · Chapter · Jan 2010
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    ABSTRACT: This paper presents the design and development of an e-learning course in teaching deaf people in a foreign language, whose first language is the sign language. The course is based in e-material, vodcasting and web 2.0 tools such as social networking and blog The course has been designed especially for deaf people and it is exploring the possibilities that e-learning material vodcasting and web 2.0 tools can offer to enhance the learning process and achieve more effective learning results.
    Full-text · Chapter · Jan 2010
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    John Vrettaros · George A. Vouros · Athanasios S. Drigas
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    ABSTRACT: This article studies the expediency of using neural networks technol- ogy and the development of back-propagation networks (BPN) models for modeling automated evaluation of the answers and progress of deaf students' that possess basic knowledge of the English language and computer skills, within a virtual e-learning environment. The performance of the developed neu- ral models is evaluated with the correlation factor between the neural networks' response values and the real value data as well as the percentage measurement of the error between the neural networks' estimate values and the real value data during its training process and afterwards with unknown data that weren't used in the training process.
    Full-text · Conference Paper · Sep 2009
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    Athanasios S. Drigas · Katerina Argyri · John Vrettaros
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    ABSTRACT: Over the last decade, artificial intelligence has offered a wide range of tools that have proved to be of vital importance for educational research. Indeed, logic, classifiers and machine learning methods, probabilistic techniques for uncertain reasoning as well as search and optimisation algorithms are only several among the various approaches that artificial intelligence has offered in dealing with real life problems. This paper attempts to explore the research that has been conducted on the application of the most typical and popular soft computing techniques [fuzzy logic, neural networks, Bayesian networks, genetic programming and hybrid approaches such as neuro-fuzzy systems and genetic programming neural networks (GPNNs)] in student modelling over the decade 1999-2009. This latest research trend is a part of every intelligent tutoring system and aims at generating and updating a student model in order to modify learning content to fit individual needs or to provide reliable assessment and feedback to student's answers. In this paper, we make a brief presentation of methods used so as to point out their qualities and then we describe the most representative studies sought in the decade of our interest after classifying them according to the principal aim they attempted to serve. http://www.inderscience.com/info/inarticle.php?artid=31006
    Full-text · Article · Jan 2009 · International Journal of Social and Humanistic Computing
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    ABSTRACT: The presented project aims at the examination of the relation of the deaf and hard of hearing people with the new technologies in Greece. The research was conducted through the construction and delivery of an online questionnaire to the members of two deaf organisations in Athens and refers to the motives, for the use of the internet services by deaf people. Particularly, the subject of this project is the comprehension of the needs and wishes of the deaf people regarding the new technologies capabilities as a means of information and communication and whether these capabilities contribute to the active social and economical participation of the people with hearing impairment. Hypotheses and questions are enounced, the survey tool is described as the survey progresses and finally the results of the survey are discussed. This discussion will consist of the basis for the formulation of psychological extensions and technological applications regarding the use of the internet capabilities by people with hearing impairment. http://inderscience.metapress.com/content/0433226766241r0t/
    Full-text · Article · Jan 2009 · International Journal of Social and Humanistic Computing
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    ABSTRACT: In this paper is presented an empirical study and its results. The em- pirical study was designed through a pilot training program which was con- ducted in order to learn if Greek educators can learn to use and even adopt the use of web 2.0 tools and services in the educational process and in which ex- tend, where the type of learning is either distant learning, blended learning or the learning takes place in the traditional classroom.
    Full-text · Conference Paper · Jan 2009
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    Athanasios S. Drigas · Katerina Argyri · John Vrettaros
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    ABSTRACT: Artificial Intelligence applications in educational field are getting more and more popular during the last decade (1999-2009) and that is why much relevant research has been conducted. In this paper, we present the most interesting attempts to apply artificial intelligence methods such as fuzzy logic, neural networks, genetic programming and hybrid approaches such as neuro - fuzzy systems and genetic programming neural networks (GPNN) in student modeling. This latest research trend is a part of every Intelligent Tutoring Sys- tem and aims at generating and updating a student model in order to modify learning content to fit individual needs or to provide reliable assessment and feedback to student's answers. In this paper, we make a brief presentation of methods used to point out their qualities and then we attempt a navigation to the most representative studies sought in the decade of our interest after classifying them according to the principal aim they attempted to serve.
    Full-text · Conference Paper · Jan 2009
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    Athanasios Drigas · Dimitris Kouremenos · John Vrettaros
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    ABSTRACT: The teaching of the English language as a second language to deaf and hearing impaired individuals, whose mother language is the sign language, through the prism of the project 'Dedalos', is the main topic of this article. More particularly, a special e-learning platform was developed, which incorpo- rated special pedagogic methods of distant linguistic training as well as innova- tive and high-quality educational e-content, suitably adapted to the needs of hearing impaired people through the use of contemporary animation and digital video technologies. In addition, audits and evaluation tests were incorporated within the platform, in order to assess and evaluate the linguistic skills of the hearing impaired students and the educational e-content was divided into vari- ous levels according to the educational level of each e-student. Both the evalua- tion process and the setting of the e-content to the appropriate level are achieved through the use of an intelligent taxonomy system.
    Full-text · Conference Paper · Sep 2008
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    ABSTRACT: The goal of this study is the development of an assessment system with the support of a Neural Network approach optimized with the use of Ge- netic Programming. The data used as training data are real data derived from an educational project. The developed system is proved capable of assessing data from both single select and multiple choice questions in an e-learning environ- ment. The final result is the assessment of the learners' answers through various
    Full-text · Conference Paper · Sep 2008

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